TimKircher's Stars
jwohlwend/boltz
Official repository for the Boltz-1 biomolecular interaction model
jonfunk21/ProteusAI
ProteusAI is a library for the machine learning driven engineering of proteins. The library enables workflows from protein structure prediction, prediction of mutational effects to protein ligand interactions powered by artificial intelligence.
ddalland/Auto-VTNA
Python code for carrying out automatic VTNA. Released as a Python Package, as well as a GUI executable that can be downloaded for free.
PinkDot-AI/eschergraph
The EscherGraph introduces advanced search capabilities on generalized knowledge graphs that are build using LLMs.
KindXiaoming/pykan
Kolmogorov Arnold Networks
RobertTLange/evosax
Evolution Strategies in JAX 🦎
jonfunk21/ML4Proteins
The ML4Proteins repository provides educational material covering machine learning for protein engineering.
facebookresearch/nevergrad
A Python toolbox for performing gradient-free optimization
pdfpc/pdfpc
A presenter console with multi-monitor support for PDF files.
patrick-kidger/torchcde
Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.
teamtomo/torch-cubic-spline-grids
Cubic spline interpolation on multidimensional grids in PyTorch
patrick-kidger/torchcubicspline
Interpolating natural cubic splines. Includes batching, GPU support, support for missing values, evaluating derivatives of the spline, and backpropagation.
ChristophReich1996/SMURF
PyTorch port (inference only) of the paper "SMURF: Self-Teaching Multi-Frame Unsupervised RAFT with Full-Image Warping" [CVPR 2021].
SUNCAT-Center/catmap
Catalyst Micro-kinetic Analysis Package for automated creation of micro-kinetic models used in catalyst screening
emdgroup/baybe
Bayesian Optimization and Design of Experiments
Harry24k/bayesian-neural-network-pytorch
PyTorch implementation of bayesian neural network [torchbnn]
microsoft/bayesianize
Bayesianize: A Bayesian neural network wrapper in pytorch
martenlienen/torchode
A parallel ODE solver for PyTorch
deepmodeling/deepflame-dev
A deep learning empowered open-source platform for reacting flow simulations
boschresearch/torchphysics
raminmh/liquid_time_constant_networks
Code Repository for Liquid Time-Constant Networks (LTCs)
mlech26l/ncps
PyTorch and TensorFlow implementation of NCP, LTC, and CfC wired neural models
PredictiveIntelligenceLab/CausalPINNs
necla-ml/Diff-JPEG
Official and maintained implementation of the paper "Differentiable JPEG: The Devil is in the Details" [WACV 2024].
joelager/CO2-electrochemical-reaction-diffusion
Solves 1D and 2D reaction diffusion ODEs and PDEs for electrochemical CO2 reduction
vmattey/bc-PINN
A Backward Compatible -- Physics Informed Neural Network for Allen Cahn and Cahn Hilliard Equations
maziarraissi/PINNs
Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations
nanditadoloi/PINN
Simple PyTorch Implementation of Physics Informed Neural Network (PINN)
benmoseley/harmonic-oscillator-pinn
Code accompanying my blog post: So, what is a physics-informed neural network?
patrick-kidger/equinox
Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/